Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

5,158 detections

This rule monitors Cisco SD-WAN environments for indicators of post-exploitation, including unauthorized SSH lateral movement, abuse of administrative tools (vshell, confd_cli), suspicious tenant list modifications related to CVE-2026-20245, privilege escalation to backdoor accounts, system file tampering (/etc/passwd, /etc/shadow), and anti-forensic activities such as log and history deletion.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
007
This rule detects network connections to specific IP addresses and ports (1259, 1269) via UDP, or the presence of a file with a specific SHA256 hash. This combination could indicate command and control (C2) communication or data exfiltration using a custom UDP protocol.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
207
This query detects multiple TTPs associated with the Storm-2561 campaign that uses SEO poisoning to distribute fake VPN clients for credential theft. It looks for known file hashes, a specific code-signing certificate, malicious DLL side-loading and C2 communication patterns.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
307
This rule detects potential Domain Generation Algorithm (DGA) activity by analyzing network connection logs. It identifies suspicious domains based on their structure (length, character set) and then filters them using a trigram analysis. Domains with non-repeating trigrams and rare trigrams (not found in a baseline of Alexa Top 1M domains) are flagged as DGA candidates. The rule then joins these candidates back to the original network logs to identify actual connections to these suspicious domains.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
107
Detects network activity over port 1313 containing Socket.IO payloads with keywords 'control' and 'escape', indicative of a command and control or remote access channel often associated with interactive shells or administrative backdoors.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
This rule identifies potential BRICKSTORM command and control (C2) activity by detecting sustained beaconing patterns to known public DNS-over-HTTPS (DoH) providers (8.8.8.8, 1.1.1.1) over port 443. It buckets network connections into 10-minute windows and flags source devices exhibiting frequent, repetitive traffic patterns, enriched with asset context to prioritize alerts from edge appliances such as firewalls, NAS devices, or storage sync services.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
205
Detects the use of legitimate SSH clients (ssh.exe, plink.exe) to initiate outbound network connections to internal IP ranges on port 22. This activity is consistent with Obsidian Sandstorm lateral movement tactics, where compromised credentials are used to establish SSH tunnels for internal network pivoting.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
005
This rule detects qemu-system processes acting as parents for known tunneling or network utility tools, or qemu-system instances explicitly configured with suspicious command-line parameters (e.g., tap, socket connect, virtio-net) indicative of covert command and control (C2) communication. This behavior is associated with threat actors using Alpine Linux virtual machines within QEMU to bypass host EDR visibility.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
005
Detects the presence and execution of RustDesk remote access software by monitoring process names, command-line arguments, specific destination network ports, and DNS queries associated with the application. This rule identifies potential unauthorized remote access attempts or the use of non-approved remote support tools.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
305
This rule detects network connections and user sign-ins originating from IP addresses identified as belonging to Iran. It also identifies sign-ins where the reported country is Iran, but the IP address is not found within the provided Iranian IP list, which could indicate IP geolocation discrepancies or obfuscation attempts.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
005
This rule detects network connections to or from known suspicious IP addresses and requests to known suspicious domains. These indicators are often associated with command and control (C2) activity, malware distribution, or other malicious infrastructure.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
105
This rule detects network connections to a specific Discord webhook URL and another suspicious domain (78smp.com/m/). This pattern is often associated with malware attempting to exfiltrate data or establish command and control (C2) via Discord webhooks, or other suspicious domains.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
005
Monitors for systems communicating with trycloudflare.com infrastructure, which may indicate creation or use of temporary Cloudflare tunnels capable of bypassing traditional remote access controls.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
205
This rule detects potential beaconing or re-registration activity associated with the JDY/KV-botnet by monitoring network connections to known Tor control/relay ports (9001 and 9050). The detection identifies endpoints making high-volume, multi-destination connections to external IPs over these specific ports, a pattern indicative of botnet nodes attempting to re-establish C2 communication after infrastructure disruption or actively recruiting new nodes.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
005
Detects network connection attempts directed toward RFC 1918 private IP address spaces (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16) and localhost (127.0.0.0/8) that do not involve common Windows file sharing ports (TCP/445 and TCP/139). This behavior may indicate lateral movement, internal reconnaissance, or the use of non-standard protocols for internal communication.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
005
This rule monitors network logs (from proxies and firewalls) for web traffic (HTTP GET requests) containing suspicious JavaScript code injection patterns in the request context or message fields. It specifically looks for common XSS indicators such as <script tags, eval(), document.write(), fromCharCode(), and atob().
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
7015
Detects network traffic consistent with the Metasploit Meterpreter reverse HTTPS payload, specifically looking for the default 'CN=metasploit' certificate subject name used by the framework in SSL/TLS handshakes, or connections targeting default Meterpreter ports like 4444.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
005
Detects DNS query traffic where the subdomain label length exceeds 50 characters and contains patterns consistent with Base64 or Hexadecimal encoding. This behavior is indicative of potential data exfiltration or command-and-control communication performed over the DNS protocol by tunneling data within query labels.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
005
Detects network traffic consistent with the default configuration of a Cobalt Strike Malleable C2 Beacon. The rule identifies HTTP GET requests to a '/updates' URI path, accompanied by the specific default User-Agent string 'Mozilla/4.0 (compatible; MSIE 6.0)', which is commonly observed in uncustomized Cobalt Strike deployments.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
005
Detects network requests to Microsoft Graph API that appear to be modifying authentication methods, specifically targeting phone-based multi-factor authentication settings. This may indicate an adversary attempting to register their own MFA device to a compromised account to maintain persistence or bypass MFA.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
2022
Detects network connection activity on common C2 ports from processes executing outside of standard system directories. The rule filters out known system paths on macOS and identifies processes that establish multiple connections to non-private IP addresses, assigning a risk score based on the volume of connections and the duration of the activity to identify potential command and control (C2) beaconing behavior.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
307
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